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Tech & Engineering

Updates every hour. Last Updated: 21-Oct-2026 23:16 ET (22-Oct-2026 03:16 GMT/UTC)

Turning single 2D crystal into a complete high-performance transistor

Institute for Basic Science
Peer-Reviewed Publication

A transistor normally requires several fundamentally different materials—a semiconductor to carry current, an insulating dielectric to control it, and metallic contacts through which current enters and leaves. Integrating all of these components becomes increasingly difficult as semiconductor devices approach the atomic scale.

A research team led by Director JO Moon-Ho of the Center for Van der Waals Quantum Solids within the Institute for Basic Science (IBS) has now demonstrated a fundamentally different approach. Instead of fabricating the semiconductor, dielectric, and contact materials separately and then assembling them into a device, the researchers started from a single layered crystal and chemically converted selected atomic layers and regions into the different materials needed for a working transistor.

Journal: Science
Funder: Institute for Basic Science

UT MD Anderson shares latest research breakthroughs

University of Texas M. D. Anderson Cancer Center
Peer-Reviewed Publication

First-in-class targeted therapy shows promise against hard-to-treat cancers

Tile-based radiation therapy dramatically reduced recurrence of brain metastases

Targeting individual metastases in oligometastatic breast cancer did not improve survival

Personalized guidance boosts family genetic testing for hereditary cancers

AI tool uncovers signals that either attract immune cells to tumors or keep them out

Announcing JAMA AI - a new journal from the JAMA Network

JAMA Network
Business Announcement

The JAMA Network announces the launch of JAMA AI, a new peer-reviewed online journal dedicated to publishing clinical research on artificial intelligence, digital health, and emerging technologies that are transforming medicine and health care. JAMA AI will begin accepting submissions in early 2027 and will be the 14th journal in the JAMA Network.

Study characterizes clinicians’ use of the AI platform OpenEvidence

Mass General Brigham
Peer-Reviewed Publication

Mass General Brigham and Harvard Medical School researchers analyzed more than 270 million queries from nearly 1 million clinicians using the AI platform OpenEvidence, finding widespread adoption and showing that clinicians often use AI to support treatment decisions, rather than diagnosis, and that clinicians frequently sought information beyond their own specialty.

Journal: JAMA

Hybrid GaP-on-diamond platform strengthens quantum-light interactions

Optica
Peer-Reviewed Publication

Researchers have developed a hybrid photonic platform that integrates gallium phosphide (GaP) nanophotonic cavity devices onto a diamond substrate, achieving high-cooperativity interactions with silicon-vacancy (SiV) center qubits. Developed by a team led by the University of Washington, Pacific Northwest National Laboratory, and Washington University, the scalable stamp-transfer process yields a 99.5% fabrication success rate across more than 600 devices on a pristine diamond host.

Journal: Optica Quantum

A lightbulb moment: Chemists find way to boost efficiency of hybrid LEDs

Emory University
Peer-Reviewed Publication

Chemists developed a way to significantly improve the performance of light-emitting diodes (LEDs) made with perovskite. The journal Nature published the advancement in these hybrid LEDs, which hold potential for a range of applications.

Journal: Nature
Funder: U.S. Department of Energy

Frontiers in Science Deep Dive webinar series | Large language medicine: defining a new paradigm in human health

Frontiers
Meeting Announcement

Explore how medical AI can move beyond identifying abnormalities to support earlier, more personalized disease prediction and prevention.

Penn engineers use AI, Reddit to identify potential side effects of unapproved new GLP-1

University of Pennsylvania School of Engineering and Applied Science
Peer-Reviewed Publication

Using AI to analyze nearly 150,000 Reddit posts, Penn researchers identified patterns in self-reported symptoms among people claiming to take gray-market versions of retatrutide, the next-generation GLP-1 drug currently in clinical trials, demonstrating how AI-assisted analysis of social media could help identify emerging drug safety signals that warrant further investigation.

Journal: JAMA Network Open
Funder: University of Pennsylvania Health System

Using AI to boost advanced reactor safety

University of Tennessee at Knoxville
Grant and Award Announcement

University of Tennessee, Knoxville researchers are using artificial intelligence to improve safety analysis for advanced nuclear reactors. The project will develop faster, more accurate methods for identifying potential operational risks, helping engineers evaluate next-generation reactor designs and support the safe expansion of nuclear energy.

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