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The use of AI in material exploration is becoming a global standard, yet there are still many cases where its implementation is slow due to reasons such as "difficult to operate" and "lack of data science personnel." Schrödinger has made a webinar video (with Japanese subtitles) available for free to address these challenges. You can watch it immediately after registering through the form. ▼ You can watch it right away by registering through the form below ▼ https://info.schrodinger.com/ms-psb-01-submit-form Alternatively, you can register by clicking the "Details and Registration for this News" button below. In the video, we demonstrate how to use Schrödinger's simulation platform for materials development, the 'Materials Science Suite,' to execute advanced property predictions and machine learning-based experimental designs (ML-based DoE) without specialized knowledge. We will introduce practical examples that are directly related to work, such as approaches to derive "the next experiment to conduct" from small data sets, viscosity predictions of binary liquid mixtures, and optimization of complex multi-component formulations. First, experience the acceleration of research and development through the use of AI in the video.

Innovating material development at the nano level through high-speed molecular simulation and machine learning With the advancement of molecular simulation technology, it has become possible to handle nano-level phenomena through computer simulations. Additionally, the combination of simulation and machine learning is expanding the range of possibilities. Schrödinger supports the enhancement of analytical power, efficiency, and reduction of development time in your material development using the latest molecular simulation and machine learning technologies, as well as techniques that integrate both. At our exhibition booth, specialized technicians will explain the latest technologies and answer questions from attendees. *During the event, we will hold a seminar at our booth. Theme: "Seeing Inside Materials at the Nano Level" - New Material Development through Simulation and Machine Learning We will introduce examples of predicting physical property values of various materials on a computer. You can experience each software firsthand. 【Exhibition Information】 Exhibition Name: nano tech Dates: January 28-30, 2026 Venue: Tokyo Big Sight, West Hall 3 Booth Number: 3W-H07 Exhibition Zone: [Materials] Material Zone

■Accelerating Next-Generation Polymer Design: Digital Chemistry Platform■ With the evolution of molecular simulation technology, we have entered an era where phenomena at the atomic and molecular levels can be reproduced and analyzed on computers. Furthermore, by combining this with machine learning, it has become possible to achieve high-precision material predictions and designs even with limited experimental data. Schrödinger strongly supports the enhancement of your analytical capabilities and the efficiency of research and development through cutting-edge molecular simulation and AI/ML technologies, as well as our unique digital platform that integrates these technologies. At this exhibition booth, our specialized staff will clearly introduce an overview of these technologies and case studies, and will also answer any questions you may have. *During the exhibition, we will hold a seminar at our booth. Location: Our exhibition booth Theme: Accelerating Next-Generation Polymer Material Development with Machine Learning and Atomic-Level Simulation 【Exhibition Information】 Exhibition Name: 14th High-Performance Plastics Exhibition within High-Functionality Materials Week Dates: November 12 (Wednesday) to 14 (Friday), 2025, 10:00 AM to 6:00 PM (ends at 5:00 PM on the last day) Venue: Makuhari Messe Halls 1-3 Booth Number: 15-10