We will be exhibiting at the "Spring Academic Conference of the Applied Physics Society" from March 22 (Tuesday) to March 26 (Saturday).

Support for property prediction, analysis, and design based on molecular structure and nanoscale structure through large-scale statistical analysis of experimental data and high-precision nanoscale simulations.

We will introduce the features of Schrödinger's Materials Science Solutions (MSS) in an easy-to-understand manner. 【Product Features】 ■ Molecular design using quantum calculations ■ Prediction of liquid and polymer physical properties ■ Crystals, surfaces, and interfaces: First-principles calculations for periodic systems, chemical reactions on electrodes and catalysts, and a wide range of applications to semiconductors/molecular crystals/MOFs ■ Statistical analysis and machine learning ■ Flexible and powerful GUI/CUI user interface *For more details, please feel free to contact us.

• simulator
• Embedded OS
• EAI/ETL/WEB application server

A GPU-assisted high-speed molecular dynamics engine that supports the rapid and high-precision prediction of physical property values of polymers and resins.

We would like to introduce Schrödinger's software that supports the prediction of physical properties of polymers and resins. 【Product Features】 ■ Accelerates MD calculations with high-efficiency GPU code Tens of thousands of atoms x hundreds of nanoseconds/day = lGPU ■ Unique high-precision force field parameter OPLS4 ■ Diverse polymer structure builder including cross-linked resins ■ Physical property prediction and analysis tools *For more details, please feel free to contact us.

• Composite Materials
• simulator
• Embedded OS

Case studies on inorganic solids and polymers! Designing new compounds in a cost-effective and time-efficient manner.

High-quality physics-based simulations and machine learning approaches accelerate the research of new materials and shorten the time to market. Through the workflow, it is possible to automatically create hundreds of predictive models using representative machine learning techniques (Partial Least Squares Regression (PLS), Multiple Linear Regression (MLR), Principal Component Regression (PCR), Kernel PLS) combined with descriptors and fingerprints, and select models with high predictive performance (AutoQSAR). For datasets with thousands of data points, similar to AutoQSAR, the workflow allows for the automatic creation of predictive models using deep learning (DeepAutoQSAR, DeepChem/AutoQSAR). To represent the properties of a wide range of materials (polymers, molecules, solids), effective descriptors customized for each system can be utilized.

• Software (middle, driver, security, etc.)

Predict the evaporation or sublimation temperature with an accuracy of ±9°C on average, calculating hundreds of complexes per second.

A New Path to Precursor Development: Schrödinger's Machine Learning This predictive model opens a new avenue for designing new precursors with improved performance, optimizing not only the deposition and chemistry but also the temperature at which they can evaporate or sublime to be supplied as vapor. This advancement allows for a much broader range of structural changes to be screened computationally than before, enabling the generation of candidate precursors for experimental synthesis and testing that are less risky and more innovative. With this volatility model and the computational workflow for reactivity and decomposition based on Schrödinger's quantum mechanics, a complete design kit for vapor phase deposition and etching is provided, accelerating research on materials and processes for new technologies. *For 50 common metal and metalloid complexes, the evaporation or sublimation temperature at a given vapor pressure is predicted with an accuracy of ±9°C (about 3% of absolute temperature). *It can compute hundreds of complexes per second, resulting in a fast turnaround time. *For more details, please refer to the PDF document or feel free to contact us.

• Software (middle, driver, security, etc.)

Quickly transform data into knowledge based on informatics! Contributing to the field of advanced materials development.

This document introduces the machine learning and material property prediction capabilities of the 'Materials Science Suite' handled by Schrodinger. This product features a powerful and user-friendly integrated informatics environment. With simple GUI operations, it allows for the analysis of experimental and simulation data using molecular structure fingerprints, visualizing the relationship between molecular structures and physical properties, and building machine learning models to predict the physical properties of new molecular structures. [Contents] ■ Background ■ Glass Transition Temperature ■ Prediction of Polymer Properties ■ KPLS Regression Using Fingerprints ■ Further Developments *For more details, please refer to the PDF document or feel free to contact us.

• simulator
• Software (middle, driver, security, etc.)

A quick solution to your materials informatics problems! The evolved AI platform LiveDesign accelerates new material development.

Do you have any of the following concerns in materials informatics? Schrödinger's LiveDesign solves these issues and accelerates MI, from data recording, completion, automation of machine learning, to sharing analytical methods and results. 【Concern 1】 Data quality issues: Formats and terminology are inconsistent ➡ We register data in a unified language on the same spreadsheet. 【Concern 2】 Data quantity issues: The data is full of missing values ➡ We complete the data using physical chemistry calculations and machine learning. 【Concern 3】 Undemocratic AI, machine learning, and analytical methods: Not knowing where to start ➡ We automatically generate suitable machine learning models while accumulating data, creating high-precision models without relying on computational chemists. 【Concern 4】 Internal sharing issues: A good predictive model has been created, but there is no system to deploy it internally ➡ Analytical methods and results can be shared within a group via a web interface. *For more details, please feel free to contact us.

• Embedded OS

Supporting material research and development through high-speed molecular simulations! Here is an overview of our products.

Our Materials Science Suite is capable of addressing a wide range of materials research fields. ■ Property predictions through Density Functional Theory (DFT) calculations and first-principles calculations for periodic systems HOMO/LUMO/pKa/solvent effects/IR/Raman/UV-vis/VCD/NMR/oxidation-reduction potential/triplet excited state energy/TADF S1-Tx gap/fluorescence/phosphorescence/vibrational calculations/structure optimization/transition state calculations/reaction pathway analysis/adsorption energy/bond dissociation energy/electron and hole mobility/reorientation (rearrangement, reconfiguration) energy ■ Property predictions using Molecular Mechanics (MM) methods, Molecular Dynamics (MD) methods, and coarse-grained MD Density/conformation analysis/crosslinked structures/Young's modulus/viscosity/surface tension/glass transition temperature (Tg)/molecular diffusion/thermal expansion/crystal morphology/swelling/stress-strain curves/solubility parameters Methods usable in machine learning Generation of various descriptors and fingerprints/Partial Least Squares (PLS) regression/multiple linear regression (MLR)/Principal Component Regression (PCR)/Kernel PLS/Bayesian classification/Recursive Partitioning (RP) analysis/Self-Organizing Maps/Tg, dielectric constant, boiling point, vapor pressure prediction models/genetic algorithms/active learning

• simulator
• Embedded OS
• EAI/ETL/WEB application server

By performing it on a single graphical interface, calculations can be done efficiently!

This document introduces the Quantum ESPRESSO Interface handled by Schrodinger's "Materials Science Suite." Through an official partnership, integration between the molecular simulation environment "Maestro" and "Quantum ESPRESSO" has been realized. By performing advanced quantum simulations from crystal structure creation to execution and analysis on a single graphical interface, efficient computational work is possible. Furthermore, calculations using the Effective Screening Medium method allow for the electronic state calculations of various surface-solvent systems, including electrode surface reactions. [Contents] ■ Nanotechnology and Computational Science ■ About Quantum ESPRESSO ■ Main Features of the Quantum ESPRESSO Interface ■ Maestro and Python API ■ Effective Screening Medium Method (ESM Method) *For more details, please refer to the PDF document or feel free to contact us.

• simulator
• Software (middle, driver, security, etc.)

Identifying promising candidate substances! Useful for selecting compounds that meet the conditions for device optimization.

This document introduces the applications of Schrodinger's 'Materials Science Suite' in organic electronics and organic EL. Through insights gained from computational results and theoretical interpretations, it is possible to identify promising candidate materials, enabling efficient development of organic light-emitting diodes (OLEDs) and organic semiconductors. Additionally, it is useful for selecting compounds that meet the conditions for device optimization. Specifically, using density functional theory (DFT), it is possible to calculate molecular properties related to organic EL material development, such as: - Oxidation potential - Reduction potential - Hole reorganization (rearrangement, reconfiguration) energy - Electron reorganization energy - Triplet energy - Triplet reorganization energy - Absorption spectrum - TADF S1-Tx gap - Fluorescence The structure of thin films can be predicted by simulating the actual deposition onto a substrate using molecular dynamics (MD). Basic information continues below.

• Other electronic parts
• Organic EL
• simulator

At Eihon Seiki, we handle Brookfield's rotational viscometers, which are widely used by many customers. We offer consulting services such as measurement method proposals and data analysis to assist our customers with viscometers and rheometers. As part of our ongoing commitment to customer service, we have planned a viscometer user seminar. We will invite Professor Toshiyuki Shikata, an emeritus professor at Tokyo University of Agriculture and Technology, who is active in the field of rheology, to give a lecture covering the basics of viscosity and an introduction to viscoelasticity. There will also be opportunities to ask questions to Professor Shikata and our technical staff regarding any issues or uncertainties you may have in your daily work. We encourage you to consider participating in this opportunity. Seminar Overview: - We will provide an easy-to-understand lecture on the basics of viscosity and viscosity measurement. - We will explain points that can help improve the reproducibility of daily measurements and maintenance within your company. - We will introduce the dispersion of solutions and stability evaluation through live demonstrations. - You will have the opportunity to ask questions directly to Professor Shikata and Eihon Seiki's technical staff.

[Key Lecture Content] 1. The current status of geothermal heat in our country and the Ministry of the Environment's initiatives for its promotion Ministry of the Environment, Water and Air Quality Bureau, Environmental Management Division, Environmental Pollution Control Office Assistant Director Matsui Tatsu 1. About geothermal heat 2. About groundwater heat 3. Utilization for energy conservation 4. Utilization for decarbonization 5. Q&A / Business card exchange 2. Technological trends of geothermal heat pumps and advanced examples from Japan and abroad Non-profit organization Geothermal Utilization Promotion Association Chairman Sasada Masakatsu 1. Overview of geothermal heat pumps and their energy-saving and environmental properties 2. Trends in closed-loop technology 3. Trends in open-loop technology 4. Technological trends of air conditioning systems using geothermal heat as a heat source 5. Future prospects for geothermal heat pumps 6. Q&A / Business card exchange

[Speaker] Cabinet Office, Government of Japan Science and Technology Innovation Promotion Office Planning Officer Takayuki Sato [Key Lecture Content] Japan's AI policy is structured around the fundamental directions of "balancing innovation promotion and risk response" and "international cooperation." In the AI Basic Plan established at the end of last year, we aim to pursue "trustworthy AI" that maintains a human-centered AI society where individual dignity is respected, enabling continuous collaboration between humans and AI. Our goal is to make Japan "the easiest country in the world to develop and utilize AI." This lecture will provide an overview of Japan's AI policies, including examples of initiatives. [Lecture Items] 1. Evolution and development trends of AI 2. Japan's AI policy (background of the AI law enactment, promotion system, etc.) 3. AI-related initiatives (AI Basic Plan, AI guidelines, etc.) 4. Q&A / Business card exchange

In this 5S seminar, we won't just stop at "organizing and tidying up." We will provide plenty of tips on how to utilize 5S as a "visualization of work" and a "tool for discovering waste," evolving the workplace into a more comfortable and productive environment! ✅ Improvement tips you can use starting tomorrow ✅ Engaging and practical exercises and workshops that will inspire and excite you From "doing it because I was told to" to "wanting to take action myself" Your step forward will lead to the evolution of the entire team. This is an opportunity to cultivate a "mindset for improvement" among young employees and enhance the autonomy of the entire organization. From "waiting for instructions" to "thinking and taking action" As you become more accustomed to your work, you will notice the waste and potential that exists. Now, let's gain the "power to change" with 5S! Benefits of 5S: 1. People grow 2. Time becomes more abundant 3. The workplace environment improves 4. 5S does not require significant costs 5. It can be implemented regardless of company size or job type 6. It is appreciated by stakeholders We will teach you the tips to transform 5S from something done because a superior said to do it, or only when there is time, into an enjoyable and sustainable practice. *For more details, please download the PDF or contact us.

This exhibition is one of the largest specialized symposiums in Japan, focusing on fullerenes, carbon nanotubes (CNT), graphene, nanomaterials, advanced materials, functional materials, and two-dimensional materials. Many researchers and engineers involved in material development, device applications, measurement and analysis, research and development, and mass production technology will attend. At our booth, we will introduce products and technological solutions that support research in nanocarbon, advanced material evaluation, device development, and industrial applications from fundamental research. ■ Planned Exhibits - Products from PicoQuant - Ultra-high stability interferometer "GEMINI" (NIREOS) - Superconducting nanowire single-photon detector (SNSPD) (Single Quantum) - Broadband wavelength-tunable laser 400–1000nm SuperK CHROMATUNE (NKT Photonics)