materialsIN

06/30/2026

materialsIN identifies complex relationships within manufacturing and materials data, enabling companies to make better decisions faster and with greater confidence.

05/28/2026

materialsIN is thrilled to attend, and present at, the upcoming inaugural NY SMART I-Corridor Semiconductor Summit in Rochester, NY on June 1st-2nd.

The event brings together semiconductor manufacturers, startup ventures, researchers/universities, suppliers and economic development organizations from across New York State.

More information on next week's event here: https://lnkd.in/eicCS66m

The NY SMART I-Corridor Semiconductor Summit, taking place June 1-2, 2026 at the RIT Inn and Conference Center in Rochester, NY, brings together industry

05/18/2026

materialsIN leverages its proprietary, physics-informed digital twin product for client engagements in the semiconductor space, with a specific mission to model the entire fabrication process.

Instead of building test wafers to understand how a new material or process change will behave — which costs time and money — materialsIN simulates it first, with a multi-layered approach:

Layer 1 — study materials data;

Layer 2 — leverage physics/chemistry/machine models; and

Layer 3 — enable autonomous agents to run the simulation.

The final results of this process are, then, interpreted results so as to propose the next actions.

03/31/2026

materialsIN has teamed up with a strategic partner to advance a new paradigm in which AI is embedded within manufacturers' experimental workflow, so as to enable continuous, experimentally grounded interpretation of materials behavior during the manufacturing process.

Our preliminary test market: the semiconductor industry.

03/24/2026

materialsIN has developed an AI-enabled platform to accelerate materials development.

The platform is differentiated in the way it enables the prediction of manufacturable synthesis pathways, precursor chemistries, and process conditions.

The end result is a reduction of trial-and-error attempts, faster innovation and cost reduction.

03/04/2026

materialsIN is part of several materials innovation initiatives nationwide, to which it contributes its artificial intelligence and materials informatics methodology.

The materialsIN approach integrates data-driven models with real-world manufacturing and supply chain constraints to enable practical, scalable solutions.

The end result: accelerate materials discovery, optimization, and deployment in industrial settings.

02/02/2026

A new case from materialsIN study highlights some of the groundbreaking work the venture is doing with manufacturers vis-à-vis materials selection, adoption and synthesis.

For this engagement, materialsIN leveraged its proprietary, data driven materials INsight product to drive, and expedite, materials innovate for its customer in the semiconductor industry.

The result: a compressed timeline to innovation and significant R&D cost savings.

Click here to read/download the report:
https://materialsin.com/case-study-case-study-data-driven-precursor-discovery-for-next-generation-low-k-dielectrics/

A case study showing how data-driven materials informatics accelerated vapor-phase precursor discovery for next-generation low-k dielectric processes.

01/05/2026

materialsIN digitally enables its customers, so as to use that data to generate knowledge.

10/16/2025

materialsIN is thrilled to be invited to participate at the upcoming NYS Innovation Summit 2025!

08/14/2025

materialsIN's proprietary methodology automates, and curates, customers' data, even when said data is sparse and fragmented.

The methodology deploys hierarchical knowledge extraction frameworks, which enables quantitative evaluation.

The end result for customers are results that are quick, precise, and accurate.