Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
Achieving high power and energy density thermal storage in phase change materials
In this study, we propose an approach that achieves spatial control of the melt-front location of pure phase change materials using pressure-enhanced close contact melting, enhancing thermal management and storage to support a rapidly-electrifying energy infrastructure.
Developing a therapeutic RNA base editing platform
Wave was founded on the idea that controlling backbone stereochemistry has potential to improve chemically modified oligonucleotide therapeutics. We now report a stereopure RNA base editing platform, adding a new modality that can help us deliver transformational therapies for patients .
Tomographic measurement of dielectric tensors at optical frequency
We developed dielectric tensor tomography – a method to directly measure and reconstruct the 3D dielectric tensors of anisotropic samples
Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings
Few machine learning models consider materials' multi-property prediction, such as the density of states. We propose a novel machine learning model, called Mat2Spec, for predicting ab initio phonon and electronic density of states for crystalline materials.
Making bubbles in Veillonella parvula – not child’s play
We analyzed the distribution of outer membrane (OM) attachment mechanisms across the whole tree of Bacteria, and we made a hypothesis on how gram-positives might have emerged. We tested it by perturbing OM tethering in the diderm Firmicute Veillonella. The results surprised us!
