Supersonic tests defy a 70-year-old rule of metal strength

Smaller grains – the microscopic crystal regions within the material – normally make metal stronger, but when deformed at extreme speeds, this rule flips and metals with very small grains actually become softer, new Cornell research reveals.

Cornell astronomer honored for achievement in observational research

With the 2026 Newton Lacy Pierce Prize, the American Astronomical Society recognizes Anna Y. Q. Ho’s pioneering investigations of extreme explosions powered by stellar death. 

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Cornell-developed particles supercharge cancer immunotherapy

A class of ultrasmall fluorescent core-shell silica nanoparticles developed at Cornell is showing an unexpected ability to rally the immune system against melanoma and dramatically improve the effectiveness of cancer immunotherapy.

The people behind the telescope: Supporting science at the edge of the universe

Behind a world-leading telescope bound for Chile is a team of engineers, machinists, electronics specialists and riggers at Cornell. Meet the specialized staff whose expertise is helping push cosmology to new frontiers.

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Mészáros elected to American Mathematical Society

Mészáros’ research focuses on algebraic and geometric combinatorics.

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Hidden clay intensified 2011 Japan megaquake, study confirms

An international research expedition involving Cornell has uncovered new details as to why a 2011 earthquake northeast of Japan behaved so unusually as it lifted the seafloor and produced a tsunami that devastated coastal communities.

Unexpected allies: DNA packaging aids gene expression

Researchers discovered that DNA packaging structures called nucleosomes, which have been traditionally seen as roadblocks for gene expression, actually help reduce torsional stress in DNA strands and facilitate genetic information decoding.

Research matters: How folate deficiency may alter genes to promote cancer

Researchers at Weill Cornell Medicine recently discovered that low levels of folate, a B vitamin essential for cell growth, can trigger specific genetic changes found in several human cancers, including lung tumors.

Quantum mechanical molecular ‘fingerprints’ solve machine learning mystery

The new method, Semi-Local Density Fingerprints (SLDFs), can predict molecular properties with up to 100 times more accuracy than the current most popular method for modeling molecules and materials.

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