Tag Archives: featured

Getting to Grips with Glassy Materials

Jon Machta, an emeritus professor of physics at UMass Amherst, works in the area of theoretical condensed matter and statistical physics. Statistical physicists use probability theory to study behavior of many-particle systems whose exact microscopic state is uncertain. Current research in his group involves theoretical and computational studies of spin and fluid systems, synchrony in ecology, and the development of algorithms to study these systems. Continue reading Getting to Grips with Glassy Materials

Forest Mapping: When the Budworms come to dinner

by Helen Hill for MGHPCC

Motivated by an eastern spruce budworm outbreak traveling down from Canada, researchers in the School of Forest Resources at the University of Maine and colleagues in the U Maine Advanced Computing Group, catalyzed by a seed grant from the Northeast Cyberteam Program, have been applying machine learning techniques to map the evolving state of the forest to provide accurate and up-to-date information on forest as the outbreak develops.

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Exploring Thermoelectric Behavior at the Nanoscale

by Helen Hill for MGHPCC

Zlatan Aksamija, an Assistant Professor of Electrical and Computer Engineering at the University of Massachusetts Amherst, uses computers at the MGHPCC to carry out nanomolecular materials modeling experiments exploring the thermoelectric behavior of materials for use in energy applications. Continue reading Exploring Thermoelectric Behavior at the Nanoscale

IOMICS: Precision Models to Protect the Environment, Accelerate Drug Development, and Improve Healthcare

IOMICS Corporation is an award winning analytics company based in Worcester and Cambridge Massachusetts. In April 2016, IOMICS announced the release of its FUSION Analytics Platform™, a cloud-based software system for prescriptive analytics and rapid prototyping of advanced decision models for use in chemical engineering, medical research, and clinical care. FUSION is hosted at the Massachusetts Green High Performance Computing Center (MGHPCC) under aegis of the Commonwealth Computational Cloud for Data Driven Biology (C3DDB).

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