Twitter Welcome to the Era of Digitally-Engineered Mat3rials! Thank you @WSJ + @newsient for sharing the news about our $3M seed round, solid growth + how our platform accelerates #RnD of #materials and #chemicals! ow.ly/VprM50HMwJM

🚀 𝗪𝗲'𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴 𝗮𝘁 𝗠𝗮𝘁𝟯𝗿𝗮 Let's make Iron Man's Digital Materials R&D experience a reality together. ☀️ Computational Materials Scientist apply.workable.com/mat3ra/j/… Bridge materials/chemistry, data science, and computer science: apply nanoscale modeling across large sets of materials, surfaces, and reaction pathways; organize simulation and experimental data; build AI approaches on top of it. 🧑‍🤝‍🧑 Community Evangelist apply.workable.com/mat3ra/j/… For outgoing scientists/engineers who want to grow a vibrant global community: identify pathways for community growth, prepare case studies and technical content, deliver it, and measure KPIs. All open positions: apply.workable.com/mat3ra/ #Mat3ra #Hiring #JobOpenings #MaterialsScience #ComputationalMaterials

🔬 𝗨𝗽𝗰𝗼𝗺𝗶𝗻𝗴 𝗪𝗲𝗯𝗶𝗻𝗮𝗿: 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗻𝗶𝗰𝘀 — 𝗕𝗮𝗻𝗱 𝗢𝗳𝗳𝘀𝗲𝘁 + 𝗦𝗰𝗵𝗼𝘁𝘁𝗸𝘆 𝗕𝗮𝗿𝗿𝗶𝗲𝗿 Join us October 28 for Mat3ra 2D, Season 2, Episode VII: Electronics — Band Offset + Schottky Barrier. This session demonstrates how to compute electronic interface properties — band offset and Schottky barrier — using Quantum ESPRESSO from JupyterLab notebooks on the Mat3ra platform. We'll cover practical workflows for obtaining and interpreting band alignment and carrier-injection barriers from atomistic simulations, with examples including HfO₂(001)/Si(001) and MoS₂/Au(111) interfaces. Presenter: Vsevolod (Seth) Biryukov, Scientific Software Engineer Host: Timur Bazhirov Language: English 🗓️ October 28, 2026 — 07:30 PDT / 10:30 EDT / 14:30 GMT / 15:30 CET / 16:30 EET / 20:00 India / 22:30 Singapore / 23:30 Japan 📍 Online via Zoom Register to attend: mat3ra.com/events-posts/mat3… #Mat3ra #Webinar #MaterialsScience #DFT #QuantumESPRESSO #Semiconductors

📚 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗪𝗲 𝗟𝗼𝘃𝗲: 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗻 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 𝗶𝗻 𝗦𝗲𝗺𝗶𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗼𝗿𝘀 & 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 𝗟𝗼𝗼𝗽 𝗔 𝗡𝗲𝘄 𝗖𝗹𝗼𝘀𝗲-𝗨𝗽 𝗩𝗶𝗲𝘄 𝗼𝗳 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗻𝘀 𝗜𝗻𝘀𝗶𝗱𝗲 𝗦𝗲𝗺𝗶𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗼𝗿𝘀 Berkeley Lab combined atomic-scale imaging (scanning tunneling microscopy) with Quantum Monte Carlo simulations to directly observe how electrons interact with defects in 2D semiconductors like molybdenum diselenide — some defects act like "potholes," others like "speed bumps," as electrons shift between an ordered Wigner solid and a disordered Fermi liquid state. Published in Nature. Authors: Mike Crommie, Feng Wang, et al. (UC Berkeley / Berkeley Lab, with Flatiron Institute, UC, University of New Mexico, Hofstra University, Arizona State University, and NIMS Japan) 🔗 Source: newscenter.lbl.gov/2026/09/1… ──────── • ──────── 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 𝗟𝗼𝗼𝗽 A new AI startup founded by four Google AI veterans — Jeff Dean, Sanjay Ghemawat, Quoc Le, and Oriol Vinyals — aiming to automate the experimental loop of scientific and engineering research, running thousands of experiments in parallel with frontier AI models and compute infrastructure. Authors: Jeff Dean, Sanjay Ghemawat, Quoc Le, Oriol Vinyals 🔗 Source: discoveryloop.com/ #AIforScience #MaterialsScience #Semiconductors #Research

⚛️ Mat3rials 3xplorer. 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗦𝗶𝗹𝗶𝗰𝗼𝗻 𝗖𝗮𝗿𝗯𝗶𝗱𝗲 𝗮𝗻𝗱 𝗚𝗮𝗹𝗹𝗶𝘂𝗺 𝗡𝗶𝘁𝗿𝗶𝗱𝗲 (𝗦𝗶𝗖(𝟬𝟬𝟭)/𝗚𝗮𝗡(𝟬𝟬𝟭)), 𝘀𝘁𝗿𝗮𝗶𝗻-𝗺𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝘀𝘂𝗽𝗲𝗿𝗰𝗲𝗹𝗹. Available online in our materials bank: platform.mat3ra.com/bank/mat… #mat3rials3xplorer #materialsscience #mat3ra #Semiconductors #DFT

🗓️Upcoming Webinar on Band Offset and Schottky Barrier, October 28th, Tokyo Materials Cafe, and AI 2 Science Happy Hour - mailchi.mp/02363a4ded8d/join…

📰 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗡𝗲𝘄𝘀: 𝗟𝗶𝗴𝗵𝘁-𝗦𝘁𝗲𝗲𝗿𝗶𝗻𝗴 𝗖𝗵𝗶𝗽𝘀 & 𝗔𝗜-𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗱 𝗙𝘂𝘀𝗶𝗼𝗻 𝗖𝗮𝗹𝘁𝗲𝗰𝗵'𝘀 𝘁𝗶𝗻𝘆 𝗻𝗲𝘄 𝗰𝗵𝗶𝗽 𝗰𝗮𝗻 𝘀𝘁𝗲𝗲𝗿 𝗹𝗶𝗴𝗵𝘁 𝗶𝗻 𝟳𝟰 𝗾𝘂𝗮𝗱𝗿𝗶𝗹𝗹𝗶𝗼𝗻𝘁𝗵𝘀 𝗼𝗳 𝗮 𝘀𝗲𝗰𝗼𝗻𝗱 A new all-optical device uses a nanoscale silicon metasurface — pillars smaller than the laser's wavelength — to redirect one light beam with another via the optical Kerr effect. The result: light steering nearly a million times faster than conventional methods, opening the door to faster photonic communications, computing, and sensing. 🔗 Source: sciencedaily.com/releases/20… ──────── • ──────── 𝗔𝗜 𝗰𝗮𝗻 𝗻𝗼𝘄 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗳𝘂𝘀𝗶𝗼𝗻 𝗽𝗹𝗮𝘀𝗺𝗮 𝗳𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝗵𝘂𝗺𝗮𝗻𝘀 𝗰𝗮𝗻 𝗿𝗲𝗮𝗰𝘁 Princeton researchers built PACMAN, a machine-learning framework that monitors and controls fusion plasma roughly 50x faster than a human operator can react. Tested on the DIII-D tokamak, it predicted a damaging instability 200 milliseconds in advance and prevented it — a meaningful step toward stable, continuous fusion reactions. 🔗 Source: sciencedaily.com/releases/20… #IndustryNews #Photonics #FusionEnergy #AI #MaterialsScience

🗓️Upcoming Webinar on Band Offset and Schottky Barrier, October 28th, Tokyo Materials Cafe, and AI 2 Science Happy Hour - mailchi.mp/62a13e1ad576/join…

💻 𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁: 𝗙𝗶𝗹𝗲 𝗨𝗽𝗹𝗼𝗮𝗱𝘀 𝘃𝗶𝗮 𝘁𝗵𝗲 𝗥𝗘𝗦𝗧 𝗔𝗣𝗜 Release 2026.9.24 adds file uploads to the external REST API: the account's object storage ("Dropbox") is now writable, and compute nodes read directly from it. Text files travel inside the request; larger or binary files — model checkpoints, archives, pseudopotentials — go to a signed URL straight to storage. The example notebooks already use this to ship custom scripts and data files with a workflow. A second new endpoint changes the type of an entity set, for example to an ordered material set. Explore Release 2026.9.24: mat3ra.com/news-and-blog-pos… 👉 Try it for free at mat3ra.com/?utm_source=twitt… #Mat3ra #API #DeveloperTools #ComputationalMaterials #CloudComputing #MaterialsInformatics

⚛️ Mat3rials 3xplorer. 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗦𝗶𝗹𝗶𝗰𝗼𝗻 𝗮𝗻𝗱 𝗔𝗹𝘂𝗺𝗶𝗻𝘂𝗺 (𝗦𝗶(𝟭𝟭𝟭)/𝗔𝗹(𝟭𝟭𝟭)), 𝘀𝘁𝗿𝗮𝗶𝗻-𝗺𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝘀𝘂𝗽𝗲𝗿𝗰𝗲𝗹𝗹. Available online in our materials bank: platform.mat3ra.com/bank/mat… #mat3rials3xplorer #materialsscience #mat3ra #Semiconductors #DFT

🔬 𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁: 𝗕𝗼𝗿𝗼𝗻 𝗩𝗮𝗰𝗮𝗻𝗰𝘆 𝗶𝗻 𝗛𝗲𝘅𝗮𝗴𝗼𝗻𝗮𝗹 𝗕𝗼𝗿𝗼𝗻 𝗡𝗶𝘁𝗿𝗶𝗱𝗲 Release 2026.9.24 adds a new tutorial calculating the formation energy of a neutral boron vacancy in h-BN using Quantum ESPRESSO. The result is compared against the QPOD database of quantum point defects in 2D materials (Bertoldo et al., npj Computational Materials, 2022), building on the platform's existing tutorial for creating the defective structure. Explore Release 2026.9.24: mat3ra.com/news-and-blog-pos… 👉 Try it for free at mat3ra.com/?utm_source=twitt… #Mat3ra #DefectFormationEnergy #hBN #2DMaterials #DFT #QuantumESPRESSO

🍁 𝟭𝟵 𝗱𝗮𝘆𝘀 𝗶𝗻 𝗝𝗮𝗽𝗮𝗻. 𝗢𝗻𝗲 𝗶𝗱𝗲𝗮: 𝗰𝗹𝗼𝘀𝗲 𝘁𝗵𝗲 𝗹𝗼𝗼𝗽 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗰𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁 From September 14 to October 2, the Mat3ra team travelled across Tokyo and Tsukuba to meet the universities and companies shaping the future of materials R&D. What the trip included: 🔬 JPS Annual Meeting at the University of Tokyo (Booth 3-2): bringing physics-based computation to the browser 🤝 Material Technology Market at Artience's Incubation CANVAS TOKYO 🎓 Faculty and labs at the University of Tokyo and Science Tokyo 🏭 Meetings with ENEOS, Sekisui Chemical, CTC, Resonac and NVIDIA ✍️ A Memorandum of Understanding with the University of Tsukuba Center for Computational Sciences (CCS) The common thread: closing the loop between computation, AI/ML and experiment with Materials R&D Cloud. 👉 Read the full story: mat3ra.com/news-and-blog-pos… #Mat3ra #Japan #MaterialsScience #AIforScience #Partnership

🧲 𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁: 𝗚𝗿𝗮𝗽𝗵𝗲𝗻𝗲/𝗡𝗶(𝟭𝟭𝟭) 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 Release 2026.9.24 adds a new example reproducing the structure and energetics of graphene on Ni(111), following the review by Dahal and Batzill (Nanoscale, 2014) and the calculations of Lahiri et al. (New J. Phys., 2011). Each candidate registry — fcc, hcp, hollow, and bridge — is relaxed to obtain the graphene–metal separation and the work of adhesion. A fast tier uses the MACE-MP machine-learned force field and runs in minutes; a precise tier submits platform jobs with the LDA functional used in the original publication. Explore Release 2026.9.24: mat3ra.com/news-and-blog-pos… 👉 Try it for free at mat3ra.com/?utm_source=twitt… #Mat3ra #Graphene #2DMaterials #DFT #MachineLearning #MaterialsScience

⚛️ Mat3rials 3xplorer. 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗛𝗮𝗳𝗻𝗶𝘂𝗺 𝗢𝘅𝗶𝗱𝗲 𝗮𝗻𝗱 𝗧𝗶𝘁𝗮𝗻𝗶𝘂𝗺 𝗡𝗶𝘁𝗿𝗶𝗱𝗲 (𝗛𝗳𝗢𝟮(𝟬𝟬𝟭)/𝗧𝗶𝗡(𝟬𝟬𝟭)), 𝘀𝘁𝗿𝗮𝗶𝗻-𝗺𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝘀𝘂𝗽𝗲𝗿𝗰𝗲𝗹𝗹. Available online in our materials bank: platform.mat3ra.com/bank/mat… #mat3rials3xplorer #materialsscience #mat3ra #Semiconductors #DFT

⚡Newsletter 2026/09. Platform Release and News! - mailchi.mp/c90cc19db60f/join…

🚀 𝗠𝗮𝘁𝟯𝗿𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝟮𝟬𝟮𝟲.𝟵.𝟮𝟰 Our latest platform release introduces new capabilities for computational materials research. Key additions include: ▪️ Graphene/Ni(111) interface example — registry-resolved adhesion energetics ▪️ Boron vacancy formation energy tutorial for hexagonal boron nitride ▪️ New REST API endpoints for file uploads and entity set type changes ▪️ CLI default Python version updated to 3.11 The release also includes interface improvements, bug fixes, and updates for developers. Explore the complete release: mat3ra.com/news-and-blog-pos… 👉 Try it for free at mat3ra.com/?utm_source=twitt… #Mat3ra #PlatformRelease #MaterialsScience #ComputationalMaterials #MaterialsInformatics #DFT #ScientificComputing

⚡Newsletter 2026/09. Platform Release and News! - mailchi.mp/17e2e0071530/join…

😄 𝗠𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝘀 𝗠𝗲𝗺𝗲!

⚛️ Mat3rials 3xplorer. 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗧𝗶𝘁𝗮𝗻𝗶𝘂𝗺 𝗡𝗶𝘁𝗿𝗶𝗱𝗲 𝗮𝗻𝗱 𝗦𝗶𝗹𝗶𝗰𝗼𝗻 (𝗧𝗶𝗡(𝟬𝟬𝟭)/𝗦𝗶(𝟬𝟬𝟭)), 𝘀𝘁𝗿𝗮𝗶𝗻-𝗺𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝘀𝘂𝗽𝗲𝗿𝗰𝗲𝗹𝗹. Available online in our materials bank: platform.mat3ra.com/bank/mat… #mat3rials3xplorer #materialsscience #mat3ra #Semiconductors #2DMaterials #Interfaces

💎 𝗠𝗮𝘁𝗲𝗿𝗶𝗮𝗹 𝗼𝗳 𝘁𝗵𝗲 𝗠𝗼𝗻𝘁𝗵: 𝗜𝗻𝗦𝗲(𝟬𝟬𝟭)/𝗔𝗴(𝟭𝟭𝟭) 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 This month's featured structure is a strain-matched interface between layered indium selenide (InSe) and silver (Ag), combining the InSe(001) and Ag(111) surfaces in a single supercell. Semiconductor–metal interfaces like this one are useful atomistic models for investigating interfacial structure, stability, charge redistribution, and electronic behavior — and for studying how atomic-scale configurations may influence electronic and optoelectronic device performance. Explore it in the Mat3ra Materials Bank: platform.mat3ra.com/bank/mat… #MaterialOfTheMonth #Semiconductors #InSe #Interfaces #MaterialsScience #Mat3ra

🚀 𝗪𝗲'𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴 𝗮𝘁 𝗠𝗮𝘁𝟯𝗿𝗮 Let's make Iron Man's Digital Materials R&D experience a reality together. ☀️ Computational Materials Scientist apply.workable.com/mat3ra/j/… Bridge materials/chemistry, data science, and computer science: apply nanoscale modeling across large sets of materials, surfaces, and reaction pathways; organize simulation and experimental data; build AI approaches on top of it. 🧑‍🤝‍🧑 Community Evangelist apply.workable.com/mat3ra/j/… For outgoing scientists/engineers who want to grow a vibrant global community: identify pathways for community growth, prepare case studies and technical content, deliver it, and measure KPIs. All open positions: apply.workable.com/mat3ra/ #Mat3ra #Hiring #JobOpenings #MaterialsScience #ComputationalMaterials #CommunityBuilding