Software for Chemistry & Materials

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Software for Chemistry & Materials

SCM develops, supports and markets the ADF modeling suite, excellent computation chemistry software for modeling chemistry and materials.

At Software for Chemistry & Materials (SCM), we care about making computational chemistry work for you. We develop and support powerful tools to tackle tough research questions in all areas of chemistry and materials science. We focus on usability by improving user-friendliness (easy installation and excellent graphical interface) and adding latest functionality. Background:
SCM is an Amsterdam-ba

sed computational chemistry software company. Originally spinning out from the Vrije Universiteit as Scientific Computing & Modelling NV in 1995, the SCM team supports and develops the ADF Modeling Suite, centered around the flagship program Amsterdam Density Functional (ADF), which was originally developed in the 1970s in the theoretical chemistry department. SCM is now a thriving private company collaborating with academic development groups around the world. SCM’s powerful computational chemistry tools are used by seasoned theoreticians as well as experimental researchers. Our customers are active in academia, government labs and industry studying various fields of chemistry and materials science.

30/04/2026

𝗔𝗠𝗦𝟮𝟬𝟮𝟲 𝗶𝘀 𝗵𝗲𝗿𝗲—bringing major advances in machine learning potentials, simulation workflows, and usability. With broader chemical coverage, improved performance, and streamlined tools, it’s easier than ever to run fast, automated, and reproducible research.

𝗪𝗵𝗮𝘁’𝘀 𝗻𝗲𝘄 𝗮𝘁 𝗮 𝗴𝗹𝗮𝗻𝗰𝗲:

• 𝗡𝗲𝘅𝘁-𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗠𝗟 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹𝘀: New model families (eSEN, MACE, UMA) deliver near-chemical accuracy, GPU-optimized performance, and expanded coverage—from biomolecules and catalysts to MOFs and inorganic materials
• 𝗔𝗗𝗙 - 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗲𝗹𝗲𝗰𝘁𝗿𝗼𝗻𝗶𝗰 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: New capabilities for spectroscopy, excited states, solvation, and embedding methods
• 𝗡𝗘𝗪 𝗕𝘂𝗺𝗯𝗹𝗲𝗯𝗲𝗲 𝗚𝗨𝗜 (OLED device modeling)
• 𝗢𝗟𝗘𝗗 & 𝗺𝘂𝗹𝘁𝗶𝘀𝗰𝗮𝗹𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀: Improved integration with Bumblebee, enabling deeper device-level insights and analysis
• 𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗚𝗨𝗜: New structure builders, streamlined menus, and improved visualization tools
• 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗖𝗢𝗦𝗠𝗢-𝗥𝗦: Better handling of complex, multi-component mixtures and phase behavior
• 𝗦𝘁𝗿𝗼𝗻𝗴𝗲𝗿 𝗠𝗗 & 𝗱𝗿𝗶𝘃𝗲𝗿: More robust simulations, new constraints, faster PES scans, and enhanced sampling methods
• 𝗩𝗔𝗦𝗣 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Seamless workflow integration for materials modeling and active learning
• 𝗘𝘅𝗽𝗮𝗻𝗱𝗲𝗱 𝗣𝘆𝘁𝗵𝗼𝗻 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺: More reusable examples, automation support, and easier scripting for reproducible research

Whether you're exploring new materials, modeling complex reactions, or building automated workflows, 𝗔𝗠𝗦𝟮𝟬𝟮𝟲 𝗴𝗶𝘃𝗲𝘀 𝘆𝗼𝘂 𝘁𝗵𝗲 𝘁𝗼𝗼𝗹𝘀 𝘁𝗼 𝗴𝗼 𝗳𝘂𝗿𝘁𝗵𝗲𝗿—𝗳𝗮𝘀𝘁𝗲𝗿.

👉 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗔𝗠𝗦𝟮𝟬𝟮𝟲 𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝗡𝗼𝘁𝗲𝘀: https://zurl.co/5VOGu

12/12/2025

🔋 𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗲𝗻𝗲𝗿𝗴𝘆 𝘀𝘁𝗼𝗿𝗮𝗴𝗲 𝗶𝘀 𝗯𝗲𝗶𝗻𝗴 𝗯𝘂𝗶𝗹𝘁 𝘁𝗼𝗱𝗮𝘆 — 𝗮𝗻𝗱 𝗮𝘁𝗼𝗺𝗶𝘀𝘁𝗶𝗰 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗶𝘀 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗷𝗼𝘂𝗿𝗻𝗲𝘆.

We’ve just released a new explainer video showing how the Amsterdam Modeling Suite (AMS) helps researchers innovate faster, smarter, and with greater confidence in the rapidly evolving battery landscape.

From understanding mechanisms at the atomic scale to reducing costly trial-and-error, AMS empowers teams to move from molecule to market with unprecedented efficiency.

Whether you're developing new materials, optimizing processes, or scaling up production, AMS provides the insights you need to stay ahead.

👉 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗔𝗠𝗦 𝗮𝗻𝗱 𝗿𝗲𝗾𝘂𝗲𝘀𝘁 𝗮 𝗱𝗲𝗺𝗼: https://www.scm.com/?utm_source=facebook&utm_medium=post&utm_campaign=explainer12122025

26/11/2025

𝗖𝗿𝗮𝗰𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗖𝗼𝗱𝗲 𝗼𝗳 𝗢𝗿𝗴𝗮𝗻𝗶𝗰 𝗦𝗲𝗺𝗶𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗼𝗿 𝗗𝗼𝗽𝗶𝗻𝗴!

A new study shows how 𝗶𝗻𝘁𝗲𝗴𝗲𝗿 𝗮𝗻𝗱 𝗽𝗮𝗿𝘁𝗶𝗮𝗹 𝗰𝗵𝗮𝗿𝗴𝗲 𝘁𝗿𝗮𝗻𝘀𝗳𝗲𝗿 in organic semiconductors can be captured with a 𝘀𝗶𝗻𝗴𝗹𝗲 𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿. Using a 𝘁𝘄𝗼-𝘀𝘁𝗮𝘁𝗲 𝗺𝗼𝗱𝗲𝗹 and 𝗼𝗽𝘁𝗶𝗺𝗮𝗹𝗹𝘆 𝘁𝘂𝗻𝗲𝗱 𝗿𝗮𝗻𝗴𝗲-𝘀𝗲𝗽𝗮𝗿𝗮𝘁𝗲𝗱 𝗵𝘆𝗯𝗿𝗶𝗱 𝗗𝗙𝗧 𝗰𝗮𝗹𝗰𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗔𝗗𝗙, the authors explain both a 𝗿𝗲𝗰𝗲𝗻𝘁 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝘁𝗶𝗼𝗻—that integer transfer broadens the density of states—and a 𝟱𝟬-𝘆𝗲𝗮𝗿-𝗼𝗹𝗱 𝗽𝘂𝘇𝘇𝗹𝗲 about level offsets.

A unified framework that could make doping more predictable and efficient!

𝗠𝗼𝗿𝗲: https://zurl.co/GliH6

20/11/2025

𝗦𝗲𝗲 𝘆𝗼𝘂 𝘁𝗼𝗺𝗼𝗿𝗿𝗼𝘄 𝗮𝘁 𝗖𝗵𝗲𝗺𝗔𝗜 𝗶𝗻 𝗔𝗺𝘀𝘁𝗲𝗿𝗱𝗮𝗺!

A quick reminder that 𝗖𝗵𝗲𝗺𝗔𝗜 takes place 𝘁𝗼𝗺𝗼𝗿𝗿𝗼𝘄, bringing together the latest in chemistry, materials science, and AI. With the Netherlands at the forefront of molecular innovation, this event is the perfect opportunity to explore how high-performance computing, advanced design techniques, and automation are transforming R&D.

🔬 Visit us at our table booth to discover how our computational tools accelerate materials discovery.
🎤 We’ll also be giving a short pitch 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝗶𝗻𝗴 𝗼𝘂𝗿 𝗻𝗲𝘄𝗲𝘀𝘁 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘁𝗼𝗼𝗹𝘀.

👥 𝗦𝗖𝗠 𝗮𝘁𝘁𝗲𝗻𝗱𝗲𝗲𝘀:

Matti Hellström

Fedor Goumans

We look forward to connecting with you at ChemAI—see you there! 🌐✨

02/11/2025

📢 𝗧𝗼𝗱𝗮𝘆, 𝗧𝗵𝘂𝗿𝘀𝗱𝗮𝘆, 𝗡𝗼𝘃 𝟲, 𝗮𝘁 #𝗔𝗜𝗖𝗵𝗘𝟮𝟬𝟮𝟱
Don’t miss Nestor's talk on
𝘙𝘦𝘢𝘤𝘵𝘪𝘰𝘯 𝘋𝘪𝘴𝘤𝘰𝘷𝘦𝘳𝘺 𝘪𝘯 𝘊𝘢𝘵𝘢𝘭𝘺𝘴𝘪𝘴 𝘸𝘪𝘵𝘩 𝘛𝘶𝘯𝘦𝘥 𝘔𝘢𝘤𝘩𝘪𝘯𝘦-𝘓𝘦𝘢𝘳𝘯𝘦𝘥 𝘗𝘰𝘵𝘦𝘯𝘵𝘪𝘢𝘭𝘴 𝘢𝘯𝘥 𝘔𝘶𝘭𝘵𝘪𝘴𝘤𝘢𝘭𝘦 𝘔𝘰𝘥𝘦𝘭𝘪𝘯𝘨

🕓 4:36–4:54 PM ET | Room 102, Hynes Convention Center
👉 See details: https://zurl.co/d6si5

31/10/2025

𝗦𝗖𝗠 𝗮𝘁 𝘁𝗵𝗲 𝗔𝗜𝗖𝗵𝗘 𝗔𝗻𝗻𝘂𝗮𝗹 𝗠𝗲𝗲𝘁𝗶𝗻𝗴 𝟮𝟬𝟮𝟱 – 𝗕𝗼𝘀𝘁𝗼𝗻

We’re excited to connect at this year’s AIChE Annual Meeting! 𝗩𝗶𝘀𝗶𝘁 𝘂𝘀 𝗮𝘁 𝗕𝗼𝗼𝘁𝗵 #𝟮𝟬𝟳 at the Hynes Convention Center and learn more about how our software empowers catalysis, molecular simulation, and materials innovation.

Our colleagues will also be sharing their latest research:

👨🔬 𝗡𝗲𝘀𝘁𝗼𝗿 𝗔𝗴𝘂𝗶𝗿𝗿𝗲

• 🎤 Talk: Reaction Discovery in Catalysis with Tuned Machine-Learned Potentials and Multiscale Modeling

📅 Thursday, Nov 6 | 4:36–4:54 PM ET | Room 102

• 📊 Poster: Tuning Machine-Learned Potentials for Catalysis and Beyond

📅 Tuesday, Nov 4 | 3:30–5:00 PM ET | Exhibit Hall C

• 📊 Poster: Accelerating Materials Innovation through Atomistic and Multiscale Modeling

📅 Thursday, Nov 6 | 2:50–3:10 PM ET | Room 210

👩🔬 𝗪𝗲𝗶-𝗟𝗶𝗻 𝗖𝗵𝗲𝗻

• 📊 Poster: Benchmarking COSMO-RS and COSMO-SAC Models for Solubility Prediction of NSAIDs

📅 Tuesday, Nov 4 | 3:30–5:00 PM ET | Exhibit Hall C

👉 𝗪𝗲 𝗹𝗼𝗼𝗸 𝗳𝗼𝗿𝘄𝗮𝗿𝗱 𝘁𝗼 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂 𝗶𝗻 𝗕𝗼𝘀𝘁𝗼𝗻!

12/10/2025

🔋 𝗔𝘁𝘁𝗲𝗻𝗱𝗶𝗻𝗴 𝗘𝗖𝗦 𝟮𝟰𝟴 (𝗧𝗵𝗲 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗰𝗵𝗲𝗺𝗶𝗰𝗮𝗹 𝗦𝗼𝗰𝗶𝗲𝘁𝘆 𝗠𝗲𝗲𝘁𝗶𝗻𝗴) 𝗶𝗻 𝗖𝗵𝗶𝗰𝗮𝗴𝗼, 𝗢𝗰𝘁𝗼𝗯𝗲𝗿 𝟭𝟮–𝟭𝟲, 𝟮𝟬𝟮𝟱?

📍 Come visit us at 𝗕𝗼𝗼𝘁𝗵 #𝟱𝟬𝟮!

We’ll be showcasing the 𝗔𝗺𝘀𝘁𝗲𝗿𝗱𝗮𝗺 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗦𝘂𝗶𝘁𝗲 (𝗔𝗠𝗦) — SCM’s integrated simulation platform for battery materials, chemistry, and advanced materials research.

With AMS, you can:
⚡ 𝗣𝗿𝗲𝗱𝗶𝗰𝘁 & 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗯𝗮𝘁𝘁𝗲𝗿𝘆 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲
⚡ 𝗗𝗲𝘀𝗶𝗴𝗻 𝗻𝗲𝘅𝘁-𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗲𝗹𝗲𝗰𝘁𝗿𝗼𝗱𝗲𝘀 & 𝗲𝗹𝗲𝗰𝘁𝗿𝗼𝗹𝘆𝘁𝗲𝘀
⚡ 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝗥&𝗗 𝘄𝗶𝘁𝗵 𝗾𝘂𝗮𝗻𝘁𝘂𝗺 𝗰𝗵𝗲𝗺𝗶𝘀𝘁𝗿𝘆 & 𝗺𝗼𝗹𝗲𝗰𝘂𝗹𝗮𝗿 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝘁𝗼𝗼𝗹𝘀

Don’t miss our colleague Nicolas Onofrio’s 𝗽𝗼𝘀𝘁𝗲𝗿 𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻:
🔹 Abstract -0421: 𝗔𝘁𝗼𝗺𝗶𝘀𝘁𝗶𝗰 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗼𝗳 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗱𝗲𝘀, 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗹𝘆𝘁𝗲𝘀, 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲𝘀 𝗳𝗼𝗿 𝗡𝗲𝘅𝘁-𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗕𝗮𝘁𝘁𝗲𝗿𝗶𝗲𝘀 𝘄𝗶𝘁𝗵 𝗔𝗠𝗦
🔹 October 13, 2025 | 18:00
🔹 Symposium A03: Li-Ion Battery and Solid State Battery Technologies: Bridging Research and Application

👋 We look forward to connecting with you in Chicago!

08/10/2025

🚀 𝗠𝗲𝗲𝘁 𝗦𝗖𝗠 𝗮𝘁 𝗦𝗘𝗠𝗜𝗖𝗢𝗡 𝗪𝗲𝘀𝘁 𝟮𝟬𝟮𝟱!
Lunch break at the conference? Join the free “Chips & Drinks – NL Showcase” 𝘁𝗼𝗱𝗮𝘆, 𝟮–𝟰 𝗣𝗠 MST at Kiterocket, to connect with the Dutch semiconductor delegation.

🔬 Our colleague Fedor Goumans is ready to show how 𝗮𝘁𝗼𝗺𝗶𝘀𝘁𝗶𝗰 & 𝗺𝘂𝗹𝘁𝗶𝘀𝗰𝗮𝗹𝗲 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗔𝗺𝘀𝘁𝗲𝗿𝗱𝗮𝗺 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗦𝘂𝗶𝘁𝗲 (𝗔𝗠𝗦) 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝘀𝗲𝗺𝗶𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗼𝗿 𝗥&𝗗 — from molecule–surface reactions to virtual experiments that save time and costs.

🔗 Signup: https://zurl.co/XjcPF

07/10/2025

𝗚𝗲𝘁 𝗿𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝗦𝗘𝗠𝗜𝗖𝗢𝗡 𝗪𝗲𝘀𝘁 𝟮𝟬𝟮𝟱! 🚀
We’re kicking off the day at 𝗦𝗘𝗠𝗜𝗖𝗢𝗡 𝗪𝗲𝘀𝘁 𝟮𝟬𝟮𝟱 with the Dutch trade mission, October 6–9 in Phoenix, AZ.

👉 Don’t miss the “𝗖𝗵𝗶𝗽𝘀 & 𝗗𝗿𝗶𝗻𝗸𝘀 – 𝗡𝗟 𝗦𝗵𝗼𝘄𝗰𝗮𝘀𝗲” on 𝗪𝗲𝗱𝗻𝗲𝘀𝗱𝗮𝘆 𝟴 𝗢𝗰𝘁𝗼𝗯𝗲𝗿 𝟮 - 𝟰𝗽𝗺 𝗠𝗦𝗧, 𝗮𝘁 𝗞𝗶𝘁𝗲𝗿𝗼𝗰𝗸𝗲𝘁 — meet the Netherlands delegation and get inspired by the strength of the Dutch semiconductor ecosystem. 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗳𝗿𝗲𝗲!

🔬 Our colleague Fedor Goumans is in Phoenix to discuss how atomistic and multiscale simulations can 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝘁𝗵𝗲 𝗱𝗲𝘀𝗶𝗴𝗻 𝗼𝗳 𝗻𝗲𝘄 𝘀𝗲𝗺𝗶𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗼𝗿 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 𝗮𝗻𝗱 𝗺𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝘀 . From understanding chemical reactivity to screening deposition precursors and etching conditions — simulations help save time, resources, and costly trial-and-error.

With the 𝗔𝗺𝘀𝘁𝗲𝗿𝗱𝗮𝗺 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗦𝘂𝗶𝘁𝗲 (𝗔𝗠𝗦), semiconductor researchers and engineers can:
✅ Predict molecule–surface reactions for ALD, ALE & CVD
✅ Screen & optimize precursors (v***r pressure, reactivity)
✅ Run multiscale simulations from atoms to thin films
✅ Calculate (opto)electronic properties for bulk & surfaces
✅ Perform virtual experiments to cut R&D costs

📩 Interested in a meeting in Phoenix? Reach out to Fedor Goumans directly!

🔗 Learn more about AMS for semiconductors: https://zurl.co/XJebn

06/10/2025

𝗠𝗲𝗲𝘁 𝗦𝗖𝗠 𝗮𝘁 𝗧𝗵𝗲 𝗕𝗮𝘁𝘁𝗲𝗿𝘆 𝗦𝗵𝗼𝘄 𝗡𝗼𝗿𝘁𝗵 𝗔𝗺𝗲𝗿𝗶𝗰𝗮 𝟮𝟬𝟮𝟱!

We’re excited to join the leading event for advanced battery technology, taking place 𝗢𝗰𝘁𝗼𝗯𝗲𝗿 𝟲–𝟵, 𝟮𝟬𝟮𝟱 𝗮𝘁 𝗛𝘂𝗻𝘁𝗶𝗻𝗴𝘁𝗼𝗻 𝗣𝗹𝗮𝗰𝗲, 𝗗𝗲𝘁𝗿𝗼𝗶𝘁, 𝗠𝗜.

📍 𝗙𝗶𝗻𝗱 𝘂𝘀 𝗮𝘁 𝗕𝗼𝗼𝘁𝗵 #𝟲𝟰𝟰𝟱

At our booth, we’ll be showcasing the 𝗔𝗺𝘀𝘁𝗲𝗿𝗱𝗮𝗺 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗦𝘂𝗶𝘁𝗲 (𝗔𝗠𝗦) — SCM’s integrated simulation platform for battery materials, chemistry, and advanced materials research.

With AMS, researchers and engineers can:
🔋 Predict and optimize battery performance
⚡ Design next-generation electrodes and electrolytes
⏱️ Accelerate R&D with quantum chemistry and molecular dynamics tools

Our colleague Nicolas Onofrio will be on-site to share how AMS empowers innovation in energy storage and materials science.

We look forward to connecting with you in Detroit!

Adres

SCM/VU/FEW/TC
Amsterdam
1081HV

Website

https://www.scm.com/

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