Fall 2021

Precision studies of the Higgs boson -- a window to new discoveries

Abstract: With the discovery of the Higgs boson, the last remaining constituent of the Standard Model of particle physics has been experimentally confirmed. However, the Standard Model does not answer several important questions about fundamental physics: What is the origin of dark matter?

Why is there matter but (almost) no antimatter in the universe? How can we describe gravity and quantum mechanics in a consistent way?

The Higgs boson is fundamentally different...

Quantum information research with superconducting circuits

Abstract: The long-term objective of quantum information research is to build machines, especially computers, whose internal operations are governed by the rules of quantum, rather than classical, mechanics. Quantum computers, if we can realize them, promise to revolutionize which problems we can solve through computation by exponentially speeding up in the calculation of certain problems.  I will discuss my laboratory’s efforts to build quantum-limited amplifiers based on parametric...

Higgs boson at the LHC: Addressing open questions in elementary particle physics

Abstract: The Large Hadron Collider at CERN, in Geneva, Switzerland, accelerates protons to the highest energies currently inoperations. A tiny fraction of the collisions, about ten in a trillion, involve the interactions of weak force quanta residing inside the protons. I will discuss how such interactions produce the recently discovered Higgs boson, and how it may serve as a portal to unknown sectors of elementary particles, such as dark matter. I will also describe...

A CMU Chemistry seminar

Abstract: Metal halide perovskite nanocrystals with the chemically tunable bandgap and superb optical properties are promising candidates for a number of high performance optoelectronic and photonic applications. The majority of studies on perovskites have focused on the large perovskite nanoparticles in the weak confinement regime, however recent synthetic advances have allowed for the preparation of high quality 0D, 1D, and 2D confined perovskites nanocrystals. The access to the strongly confined quantum dots, nanowires and...

Identification of new battery chemistries guided by data science and multi-metric performance objectives
Zoom link will be provided

Abstract: I will discuss our efforts to combine diverse data sets and materials property calculations with physics and intuition to identify new battery chemistries that satisfy a spectrum of desirable performance metrics. Traditional approaches to battery chemistry development involve the identification of one battery component and optimization of one or two of the desired properties of that component. This approach has been a...

Building Useful Machine-Learned Interatomic Potentials

Abstract: Interatomic Potentials have long been used for atomistic modeling where the interesting questions are out of reach by first-principles approaches. Traditional empirical potentials are typically fitted to experimental data. They typically have poor general accuracy but are physically well-behaved. On the other hand, machine-learned interatomic potentials are far more expressive than physically motivated interatomic potentials like Lennard-Jones, Stillinger-Weber, Embedded Atom Potentials, etc., but they...